AI Engineer / Data Scientist, AI Manager

Responsibilities

• Leading the development and implementation of advanced AI and machine learning solutions to drive innovation and enhance business processes
• Designing and optimizing algorithms, models, and systems to enable intelligent decision-making and automation
• Transforming raw data into actionable insights to support informed decision-making and drive business growth
• Supervising and coaching teams to deliver quality work and meet client expectations
• Analyzing and identifying linkages and interactions within complex systems to improve efficiency and effectiveness
• Taking ownership of projects, including planning, budgeting, execution, and completion
• Collaborating with team leadership to maintain collective ownership of quality, timelines, and deliverables
• Motivating and inspiring teams to deliver quality results
• Addressing conflicts or issues by engaging in difficult conversations with clients, team members, and stakeholders
• Upholding professional and technical standards, including the firm's code of conduct and independence requirements

Requirements

• At least a Bachelor's degree
• At least 4 years of experience
• Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
• One of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
• Demonstrating proficiency in AI implementation and machine learning
• Excelling in managing client support and engagement
• Leveraging skills in data and analytics engineering
• Embracing technology and innovation in project execution

Qualifications

• Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
• One of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
• Demonstrating proficiency in AI implementation and machine learning
• Excelling in managing client support and engagement
• Leveraging skills in data and analytics engineering
• Embracing technology and innovation in project execution

Skills

• Proficiency in AI implementation and machine learning
• Ability to manage client support and engagement
• Strong skills in data and analytics engineering
• Ability to embrace technology and innovation in project execution

Benefits

• The salary range for this position is: $99,000 - $252,450.
• For residents of Washington state the salary range for this position is: $99,000 - $297,000.
• Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.
• All hired individuals are eligible for an annual discretionary bonus.
• PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more.

Pay

The salary range for this position is: $99,000 - $252,450. For residents of Washington state the salary range for this position is: $99,000 - $297,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.

Schedule

Time Type: Full time

Travel Requirements

Up to 20%